Older Adults’ Experiences With Participation and eHealth in Care Coordination: Qualitative Interview Study in a Primary Care Setting
Bibliographic record
Abstract
BACKGROUND: Owing to the demographic changes in the elderly population worldwide, delivering coordinated care at home to multimorbid older adults is of great importance. Older adults living with multiple chronic conditions need information to manage and coordinate their care. eHealth can be effective for gaining sufficient information, communicating, and self-managing chronic conditions. However, incorporating older adults' health preferences and ensuring active involvement remain challenging. More knowledge is needed to ensure successful participation and eHealth use in care coordination. OBJECTIVE: This study aimed to explore multimorbid older adults' experiences with participation and eHealth in care coordination with general practitioners (GPs) and district nurses (DNs). METHODS: The study had a qualitative explorative approach. Data collection included semistructured interviews with 20 older adults with multimorbidity receiving primary care services from their GPs and DNs. The participants were included by their GPs or nurses at a local intermunicipal acute inpatient care unit. The data analysis was guided by systematic text condensation. RESULTS: We identified 2 categories: (1) older adults in charge of and using eHealth in care coordination, and (2) older adults with a loss of control in care coordination. The first category describes how communication with GPs and DNs can facilitate participation, the importance of managing own medication, and how eHealth can support older adults' information needs. The second category focuses on older adults who depend on guidance and help from their GPs and DNs to manage their health, describing how a lack of capacity and system support to be involved makes these adults lose control of their care coordination. CONCLUSIONS: Being in charge of care coordination is important for older multimorbid adults. The results show that older adults are willing to use eHealth to be informed and to seek information, which ensures high levels of participation in care coordination. Future research should investigate how older adults can be involved in electronic information sharing with health care providers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".